Title Minimum of heavy-tailed random variables is not heavy tailed /
Authors Leipus, Remigijus ; Šiaulys, Jonas ; Konstantinides, Dimitrios
DOI 10.3934/math.2023658
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Is Part of AIMS mathematics.. Springfield, MO : AIMS Press. 2023, vol. 8, iss. 6, p. 13066-13072.. eISSN 2473-6988
Keywords [eng] heavy-tailed distribution ; closure properties ; minimum of random variables ; closure under minimum ; generalized long-tailed distribution
Abstract [eng] By constructing an appropriate example, we show that the class of heavy-tailed distributions is not closed under minimum. We provide two independent heavy-tailed random variables, such that their minimum is not heavy tailed. In addition, we establish a few properties of the distributions considered in the example.
Published Springfield, MO : AIMS Press
Type Journal article
Language English
Publication date 2023
CC license CC license description